ISSN:
1573-1987
Keywords:
adjoint methods
;
data assimilation
;
optimal control
;
model errors
;
order reduction
;
Kalman filtering
Source:
Springer Online Journal Archives 1860-2000
Topics:
Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
Notes:
Abstract One of the main hypothese made in variational data assimilation is to consider that the model is a strong constraint of the minimization, i.e. that the model describes exactly the behavior of the system. Obviously the hypothesis is never respected. We propose here an alternative to the 4D-Var that takes into account model errors by adding a nonphysical term into the model equation and controlling this term. A practical application is proposed on a simple case and a reduction of the size of control using preferred directions is introduced to make the method affordable for realistic applications.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1023/A:1011452303647
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